Problem Statement Example
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Six Sigma For Dummies
The fast and easy way to understand and implement Six Sigma The world's largest and most profitable companies—including the likes of GE, Bank of America, Honeywell, DuPont, Samsung, Starwood Hotels, Bechtel, and Motorola—have used Six Sigma to achieve breathtaking improvements in business performance, in everything from products to processes to complex systems and even in work environments. Over the past decade, over $100 billion in bottom-line performance has been achieved through corporate Six Sigma programs. Yet, despite its astounding effectiveness, few outside of the community of Six Sigma practitioners know what Six Sigma is all about. With this book, Six Sigma is revealed to everyone. You might be in a company that's already implemented Six Sigma, or your organization may be considering it. You may be a student who wants to learn how it works, or you might be a seasoned business professional who needs to get up to speed. In any case, this updated edition of Six Sigma For Dummies is the most straightforward, non-intimidating guide on the market. New and updated material, including real-world examples What Six Sigma is all about and how it works The benefits of Six Sigma in organizations and businesses The powerful "DMAIC" problem-solving roadmap Yellow, Green and Black—how the Six Sigma "belt" system works How to select and utilize the right tools and technologies Speaking the language of Six Sigma; knowing the roles and responsibilities; and mastering the statistics skills and analytical methods Six Sigma For Dummies will become everyone's No. 1 resource for discovering and mastering the world's most famous and powerful improvement tool. Stephen Covey is spot-on when he says, "Six Sigma For Dummies is a book to be read by everyone."
Qualitative Inquiry and Research Design
"Creswell does an excellent job categorizing the various qualitative methods into five approaches: narrative research, phenomenology, grounded theory, ethnography, and case study...The author has expanded on and updated the information he presented in the first edition of the book (Creswell, 1998), including discussion of the various schools of thought that have developed among qualitative researchers since the mid 1990's...Qualitative Inquiry & Research Design: Choosing among five approaches is a highly informative book; researchers will likely return again and against to the book as they expand their comfort zone within qualitative research." —Peggy M. Delmas, University of Alabama “Creswell has produced an even more outstanding and valuable text for qualitative research than the First Edition.” —Edith King, University of Denver Like the bestselling First Edition, this new version explores the philosophical underpinnings, history, and key elements of each of five qualitative inquiry approaches: narrative research, phenomenology, grounded theory, ethnography, and case study. Using an accessible and engaging writing style, author John W. Creswell compares theoretical frameworks, ways to employ standards of quality, and strategies for writing introductions to studies, collecting data, analyzing data, writing a narrative, and verifying results.
Regression Analysis by Example
Author: Samprit Chatterjee
language: en
Publisher: John Wiley & Sons
Release Date: 2006-10-20
The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. This new edition features the following enhancements: Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis A new chapter entitled Further Topics discusses advanced areas of regression analysis Reorganized, expanded, and upgraded exercises appear at the end of each chapter A fully integrated Web page provides data sets Numerous graphical displays highlight the significance of visual appeal Regression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.